Internship Master Thesis Machine Learning and Control Systems REF96929P

Continental

Not Interested
Bookmark
Report This Job

profile Job Location:

Hannover - Germany

profile Monthly Salary: Not Disclosed
Posted on: 5 hours ago
Vacancies: 1 Vacancy

Job Summary

Join the Machine Intelligence department at our location Hanover-Stöcken where we bring cutting-edge AI and machine learning solutions to industrial tire machinery. Our work spans control systems measurement technologies extended reality and robotics creating a dynamic environment for innovation.

You will be part of an innovative team shaping the future of smart manufacturing by contributing to real-world industrial challenges and optimizing machines through data-driven solutions.

We are offering a masters thesis position starting as soon as possible (July 2026). An internship is also possible in addition to the masters thesis. A voluntary or mandatory internship is possible. Most tasks are performed on-site.

As an intern or master thesis student in Machine Intelligence you will collaborate with a highly innovative team to explore and implement AI methodologies in control systems and develop digital twins that dynamically adapt to changing conditions in rubber manufacturing.

Your main tasks:

  • Experiment with time-series and tabular machine learning models (e.g. for prediction anomaly detection and process optimization)
  • Apply signal processing and other feature engineering techniques to improve model performance
  • Develop adaptive control systems and machine learning models for real-world industrial challenges
  • Deploy and industrialise models in production environments

Qualifications :

  • Master students (m/f/diverse) in the field of mechatronics electrical engineering mechanical engineering or similar
  • Proficiency in Python and machine learning frameworks such as TensorFlow PyTorch etc.
  • Knowledge of programmable logic controllers (PLCs) and control systems
  • Strong fundamentals in statistics
  • Basic understanding of reinforcement learning
  • Very good command of English and German language written and spoken
  • Teamwork creativity and interest in innovative technical solutions
  • Strong communication skills and a structured approach to work

Please upload the following documents (mandatory):

  • For mandatory internships: your study regulations with the required duration clearly highlighted
  • Current certificate of enrolment
  • Current transcript of records

If applicable please also upload:

  • Valid residence permit
  • Work permit including the supplementary sheet

Applications from severely handicapped people are welcome.


Additional Information :

We offer the following benefits:

  • International and dynamic work environment
  • 100% member of our core team which exceeds classical intern tasks
  • Flexible working hours to fit your study schedule
  • A hybrid work environment remote or on-site depending on team organization and tasks
  • Attractive remuneration 
  • Qualified support from our specialists
  • Health-oriented workplace

If you are interested to learn more about this specific Continental location you are welcome to visite our location page: Continental / Hannover Stöcken

Diversity Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age gender nationality cultural background disability religion ideology or sexual orientation.

Ready to drive with Continental Take the first step and fill in the online application.


Remote Work :

No


Employment Type :

Full-time

Join the Machine Intelligence department at our location Hanover-Stöcken where we bring cutting-edge AI and machine learning solutions to industrial tire machinery. Our work spans control systems measurement technologies extended reality and robotics creating a dynamic environment for innovation.You...
View more view more

About Company

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2019, ... View more

View Profile View Profile